Google Maps Scraper
Automate your Google Maps data collection. Export to CSV, Excel, or JSON in just a few minutes!
Pricing Plans
No monthly fees. Pay as you go only for the records you extracted.
Free Tier
Usage before 500 businesses- Free for the first 500 businesses (places)
- CSV/Excel/Parquet/JSON
- Enrichments
Medium Tier
Usage after 500 businesses- Price per 1k records for the usage from 501 to 100k businesses (places)
- CSV/Excel/Parquet/JSON
- Advanced filters
- Enrichments
- API access
Business Tier
Usage after 100,000 businesses- Price per 1k records for the usage after 100k businesses (places)
- CSV/Excel/Parquet/JSON
- Advanced filters
- Enrichments
- API access
- Unlimited
Why Use Outscraper for Google Maps Scraping?
Full Coverage
Maintaining a comprehensive list of Points of Interest (POIs) is crucial for industries such as location intelligence, GIS, and mapping.
Emails & Contacts
Expand beyond single-source data by enriching it with comprehensive details such as emails, phone numbers, social media links, contact information, company insights, and more, for more robust and informative campaigns.
Real Time Data
With our cutting-edge technology, the data you receive isn't just up-to-date, it's live. This means the moment a change occurs, you know about it, allowing for immediate action and decision-making.
Limitless Speed
Tap into our high-performance, globally distributed servers for fast and reliable data access. Outscraper's core technology is designed to efficiently manage millions of tasks simultaneously.
Lead Generation
Elevate your lead generation strategies using the data. Our insights help you identify and target potential leads more effectively, turning data into opportunities.
Cloud Scraping Advantages
Safeguard your IP by utilizing Outscraper's cloud servers for data scraping. Our dedicated team continuously updates the software, ensuring seamless scraping even with changes on target sites.
Data Dictionary
Columns names and descriptions for Google Maps.
- name – name of the place on Google Maps.
- name_for_emails – name cleaned/normalised for email personalisation.
- subtypes – all types of the place.
- type – the type under which the place was found (can be any element from subtypes, search result context).
- category – category defined by contributors (may be in a local language).
- phone – place phone number.
- website – website of the place.
- address – full formatted address of the place.
- street – street address (e.g. house number + street).
- county – county/borough.
- city – city of the place.
- state – state/region/province name (when available).
- state_code – state/region code (e.g. NY for US; when available).
- postal_code – postal/ZIP code.
- country – country name.
- country_code – country code (ISO 3166-1 alpha-2, e.g. US).
- latitude – latitude of the place location.
- longitude – longitude of the place location.
- h3 – H3 index (hexagonal spatial index) for the place location.
- time_zone – timezone of the place location.
- plus_code – Open Location Code / Plus Code (works only for individual searches, e.g. query: “Hotel Colombo Berat”, “0x3e49a63f6b05fe3b:0xc73d6b1f31b2ccc8”, learn more).
- area_service – indicates if the place is a service-area business without a public storefront address.
- rating – rating of the place.
- reviews – number of reviews.
- reviews_link – link to the place’s reviews on Google Maps.
- reviews_tags – most common review tags (works only for individual searches, e.g. query: “Hotel Colombo Berat”, “0x3e49a63f6b05fe3b:0xc73d6b1f31b2ccc8”, learn more).
- reviews_per_score – JSON object with reviews per score. Works only when using google_id or a business name/category as a query.
- reviews_per_score_1 – number of 1-star reviews.
- reviews_per_score_2 – number of 2-star reviews.
- reviews_per_score_3 – number of 3-star reviews.
- reviews_per_score_4 – number of 4-star reviews.
- reviews_per_score_5 – number of 5-star reviews.
- photos_count – number of photos.
- photo – main photo URL (when available).
- street_view – Google Street View image URL (works only for individual searches, e.g. query: “Hotel Colombo Berat”, “0x3e49a63f6b05fe3b:0xc73d6b1f31b2ccc8”, learn more).
- logo – logo image URL (when available).
- located_in – name of the parent place where it’s located (works only for individual searches, e.g. query: “Hotel Colombo Berat”, “0x3e49a63f6b05fe3b:0xc73d6b1f31b2ccc8”, learn more).
- located_google_id – google_id of the parent place where it’s located (works only for individual searches, e.g. query: “Hotel Colombo Berat”, “0x3e49a63f6b05fe3b:0xc73d6b1f31b2ccc8”, learn more).
- business_status – current status of the business (e.g. operational, temporarily closed).
- working_hours – JSON object with opening hours.
- working_hours_csv_compatible – pipe-delimited CSV-compatible opening hours string (used by: Opening Hours Pro, Listing Pro, Business Hours Widget, StoreMapper).
- other_hours – JSON object with other hours (when available).
- popular_times – popular times, including live status (e.g. little busy). Works only for individual searches (see learn more).
- typical_time_spent – how much time people typically spend (e.g. People typically spend 45 min to 2.5 hr here). Works only for individual searches (see learn more).
- range – price range. Either “$$$” (general searches) or “€10–20” (available only when using place_ids as queries).
- prices – prices info from various hotel providers (available only when using place_ids as queries).
- reservation_links – reservation links (when available).
- booking_appointment_link – link to book an appointment (when available).
- menu_link – menu link (works only for individual searches, e.g. query: “Hotel Colombo Berat”, “0x3e49a63f6b05fe3b:0xc73d6b1f31b2ccc8”, learn more).
- order_links – links to place an order (when available).
- about – additional attributes about the place (e.g. women-owned, LGBTQ+ friendly).
- description – place description (works only for individual searches; learn more).
- posts – JSON object with posts from the place (works only for some places; learn more).
- verified – indicates if the place was claimed/verified.
- owner_id – unique identifier of the place owner.
- owner_title – title of the owner’s profile page.
- owner_link – link to owner profile on Google Maps.
- location_link – link to the place on Google Maps.
- location_reviews_link – direct link to the reviews tab (when available).
- place_id – unique identifier of the place (Google may update it a few times per year).
- google_id – unique identifier of the place, also known as Feature ID (Google may update it a few times per year).
- cid – multi-platform ID of a listing in the Google ecosystem.
- kgmid – Knowledge Graph Machine ID (identifier Google assigns to specific entities).
- reviews_id – unique identifier of the place’s reviews.
Additional data that might be added by applying Emails & Contacts Scraper enrichment (select it with UI or use the “domains_service” parameter with API). You can learn more about enrichments in this article.
- domain – website domain.
- email_1 – the first email found associated with the place.
- email_2 – the second email found associated with the place.
- email_3 – the third email found associated with the place.
- Facebook – link to the Facebook page.
- Instagram – link to the Instagram page.
- Twitter – link to the Twitter page.
- Linkedin – link to the Linkedin page.
- Youtube – link to the Youtube page.
- phone_1 – first phone found from the website.
- phone_2 – second phone found from the website.
- phone_3 – third phone found from the website.
- website_title – title of the website (meta tag).
- website_generator – the platform the website is built on (WordPress, etc.).
- website_description – description of the website (meta tag).
- website_keywords – keywords from the website (meta tag).
- website_has_fb_pixel – shows if FB pixel was found.
- website_has_google_tag – shows if Google Tagmanager code was found.
API Docs
Use the data from your app. Check out the API Docs to see code examples.
Video Tutorial
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FAQ
Most frequent questions and answers
Google Map scraping, harvesting, or extracting is a process of getting all the information about places (name, address, coordinates, site, phone, working hours, etc.) from the Google Maps site. It automates manual exporting of the data.
Scraping and extracting of public data is protected by the First Amendment of the United States Constitution.
- Login to Google Maps scraper.
- Select categories you want to extract.
- Select locations from the dropdown.
- Select language and check other advanced parameters.
- Click “Scrape data”.
Data from Google Maps can be used in many fields. The most common case is prospecting new customers for your business or using the data for AI and Machine learning. Google Places data also can be a source for building your application.
Yes. You can use Emails & Contacts Scraper along with Google Maps scraper to enrich the data from Google. In order to do so, select “Emails & Contacts Scraper” in the “Enrich by other services” section on the Google Maps Scraper page.

No. All scraping activities occur on Outscraper servers, ensuring that your IP address is not utilized for data scraping. You can close your computer an the scraping task will still be running.
business details, contact information, reviews, and location data from Google Maps. Designed for efficiency, this automated Google Maps scraping tool ensures quick and accurate data extraction, making it an ideal choice for businesses seeking to enhance their local data mining and business intelligence efforts.
Utilize Google Maps API scraper to gather comprehensive business listings, POIs, and other crucial data. Whether you need to scrape bulk data or perform targeted extractions, this software delivers precise results every time. Perfect for digital marketers, data analysts, and researchers, our Google Maps Scraper simplifies the process of data collection, providing you with actionable insights to drive your strategies.
With features like bulk data extraction, automated scraping, and an intuitive online interface, Google Maps data scraping service stands out as a reliable solution for your data needs. Start using Google Maps Data Scraper today and transform the way you collect and analyze local business information. Enhance your data-driven decisions and gain a competitive edge with the powerful scraping tool. Try it now and experience the ease of extracting data from Google Maps seamlessly with Outscraper.
